Share Email Print
cover

Proceedings Paper

FY-3C/VIRR SST algorithm and cal/val activities at NSMC/CMA
Author(s): Sujuan Wang; Peng Cui; Peng Zhang; Maonong Ran; Feng Lu; Weihe Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The National Satellite Meteorological Center (NSMC)/CMA global sea surface temperature (SST) data are derived from measurements made by the Visible and Infrared Radiometer (VIRR) on board the FY-3 series polar orbiting satellites. Quality controlled in situ data from iQUAM (STAR/NESDIS/NOAA) is used in FY-3B/C VIRR matching procedure. The monthly matchup database (MDB) is created from FY-3C VIRR measurements paired with coincident SST measurements from buoys since November 2013. The satellite sensor’s brightness temperature and buoy SST pairs are included in the MDB if they are coincident within 3km in space and 1 hour in time. Least-Square Regression is used for estimating the first-guess coefficient and SST residuals. Outliers are removed using Median±2STD, and the final coefficients of robust regression are estimated. A set of SST regression formalisms are tested base on NOAA- 19/AVHRR 2010 MDB. The test shows that, for daytime split-window nonlinear SST (NLSST) is the best, for nighttime triple-window MCSST (TCSST) is the best, which is agree with STAR/NESDIS’s. The same regression analysis method also used on FY-3C/VIRR MDB. Compare with the three daytime SST algorithms and five nighttime SST algorithms, the best algorithm to retrieve FY-3C/VIRR SST for daytime is NLSST and for nighttime is TCSST. Compare with the coefficients of nighttime algorithm TCSST, it shows that for FY-3B/C VIRR SST, the contribution of 3.7μm band is smaller than split-window bands. The performance of 3.7μm band of FY-3C/VIRR is better than FY-3B/VIRR, but worse than NOAA-19/AVHRR.

Paper Details

Date Published: 10 December 2014
PDF: 8 pages
Proc. SPIE 9261, Ocean Remote Sensing and Monitoring from Space, 92610G (10 December 2014); doi: 10.1117/12.2068773
Show Author Affiliations
Sujuan Wang, National Satellite Meteorological Ctr. (China)
Peng Cui, National Satellite Meteorological Ctr. (China)
Peng Zhang, National Satellite Meteorological Ctr. (China)
Maonong Ran, Beijing HuaYun Shinetek Satellite Application Engineering Technology Co., Ltd. (China)
Feng Lu, National Satellite Meteorological Ctr. (China)
Weihe Wang, National Satellite Meteorological Ctr. (China)


Published in SPIE Proceedings Vol. 9261:
Ocean Remote Sensing and Monitoring from Space
Robert J. Frouin; Delu Pan; Hiroshi Murakami, Editor(s)

© SPIE. Terms of Use
Back to Top